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local and state building codes throughout the U.S. with the end goal of optimizing onsite and offsite construction and industrialized mass customization. 2. In collaboration with interdisciplinary
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. 3. Develop optimization processes to standardize construction requirements from local and state building codes throughout the U.S. with the end goal of optimizing onsite and offsite construction and
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on knowledge of scientific theory. Independently conduct experiments after consultation with a supervisor and maintain detailed records of experiments and outcomes. Experiments involving handling small animals
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Professional References including names, addresses, and telephone numbers A portfolio of design works For questions, please contact Prof. Mingzhou Jin (jin@utk.edu ) or Prof. Marshall Prado (marshall.prado
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for engineering-driven AI innovation. Ideal candidates will have: (1) A PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms
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of overall results. Performs professional work that requires specialized knowledge of eDNA research, which is a rapidly growing field, and has a solid understanding, use, and application of concepts, theories
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://www.ornl.gov . For questions, please contact Prof. Niki Labbé (nlabbe@utk.edu) or Prof. Jon Shefner (jshefner@utk.edu). Application Process This institution is using Interfolio's Faculty Search to conduct
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. Uses basic understanding of theory behind clinical/translational research and applies basic analytical skills to implement assigned projects, and to identify and trouble-shoot situations needing special
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with an interdisciplinary research team and contributing to broader scientific projects. The ideal candidate should thus have formal training in statistical theory, econometrics, and/or other
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controlled experiments employing standard protocols and rigorous sterile technique Knowledge, Skills & Abilities: General knowledge of scientific theory and methods Effective oral and written communication